Job Summary :
We are seeking a highly skilled and experienced Lead Software Engineer to architect, develop, and deliver scalable, high-performance integration solutions.
This role demands deep expertise in Kafka-based messaging systems, Kubernetes, Confluent, Redpanda, Argo CD, Connectors, and Disaster Recovery (DR) strategies.
The ideal candidate will also bring strong leadership, automation, and performance testing experience.
Key Responsibilities :
- Lead the design and development of event-driven microservices using Apache Kafka and Redpanda.
- Architect and manage Kafka Connectors, Schema Registry, and Replicator for scalable data pipelines.
- Implement Disaster Recovery and multi-region replication strategies using Kafka Replicator or Cluster Linking.
- Deploy and manage Kafka infrastructure on Kubernetes using Helm, Confluent Operator, or Redpanda Helm charts.
- Automate deployments and configuration management using Argo CD and GitOps practices.
- Develop and expose RESTful and GraphQL APIs for internal and external integrations.
- Drive test automation using tools like JUnit, Postman, Selenium, and performance testing with JMeter or Gatling.
- Collaborate with DevOps for CI/CD pipelines and cloud-native deployments (Docker, Kubernetes, AWS/Azure).
- Mentor junior engineers and lead technical planning, code reviews, and architecture discussions.
Required Qualifications :
- Bachelors or Masters degree in Computer Science, Engineering, or related field.
- 8+ years of software development experience, with at least 2 years in a technical leadership role.
- Strong experience with Kafka, Confluent, Redpanda, and distributed systems.
- Hands-on experience with Kubernetes, Docker, and cloud platforms (AWS, Azure).
- Deep understanding of API design, security, and integration patterns.
- Proven experience in test automation and performance testing.
Preferred Qualifications :
- Experience with Argo CD, Backstage.io, and GitOps workflows.
- Familiarity with Schema Registry, Kafka Connect, and Replicator.
- Certifications in Kafka, Kubernetes, or cloud platforms.
- Knowledge of Agile/Scrum methodologies and tools like Jira, Confluence.